Language-endpoint-detection-

这个是关于车牌识别方面的源代码，是一种基于灰度定位的。(This is on the license plate recognition source code, is based on the gray level positioning.)

实现matlab gui 界面的人脸检测，通过点击人眼中心，实现识别(Achieve matlab gui interface face detection, by clicking on the eye center, to achieve recognition)

使用matlab命令将10进制自然数转换为16进制的小程序(Use the Matlab command decimal natural number converted to hexadecimal applet)

基于otsu算法的图像分割算法实现，经过多次验证，程序无错误。(Based on Otsu algorithm for image segmentation algorithm, after repeated verification, error-free program.)

烟花算法程序，包括爆炸算子，高斯火花，映射规则，寻优策略(Fireworks algorithm program, including the explosion operator, Gaussian sparks, mapping rules, optimization strategy)

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。(This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.)

说明：  该算法实现了最小无失真相应（MVRD）波束形成(The algorithm to achieve the minimum distortion corresponding (MVRD) beamforming)

Serial port communication for kwp 2000 fast initialization. this code is not complete. I am trying to develop it

This is Code of PSO with matlab

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)